期刊
GAMES AND ECONOMIC BEHAVIOR
卷 51, 期 2, 页码 264-295出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.geb.2004.10.008
关键词
random games; nash equilibrium; two-player games; normal form games; computational complexity; statistical mechanics; disordered systems
类别
The formula given by McLennan [The mean number of real roots of a multihomogeneous system of polynomial equations, Amer. J. Math. 124 (2002) 49-73] is applied to the mean number of Nash equilibria of random two-player normal form games in which the two players have M and N pure strategies respectively. Holding M fixed while N → ∞, the expected number of Nash equilibria is approximately (√(π log N) / 2)(M-1)/√ M. Letting M = N → ∞, the expected number of Nash equilibria is exp(NM + O(log N)), where M ≈ 0.281644 is a constant, and almost all equilibria have each player assigning positive probability to approximately 31.5915 percent of her pure strategies. © 2004 Elsevier Inc. All rights reserved.
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